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Integrity report for Physics-informed convolutional neural networks for fluid flow through porous media

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2605.20250 · pith:2026:BR2E46SGECXQ7GUQNK5QNB3CBA

1Critical
0Advisory
5Detectors run
2026-05-28Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-28 00:39:02.781755+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 19:43:54.210667+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 14:02:46.327273+00:00
doi_compliance completed v1.0.0 · findings 1 · 2026-05-25 13:18:24.089580+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 03:53:26.049715+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BR2E46SG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.